Quality Engineer RCA/RGA

Job description

Introduction to the job Are you driven by the challenge of enhancing the quality of complex, cutting-edge lithography systems? Do you naturally question assumptions and seek evidence-based answers? Are you looking for a role where you can apply your problem-solving, reliability engineering, organizational, and communication skills in a dynamic, cross-sector environment? If so, this opportunity within the Development & Engineering – Performance & Integration Reliability group might be the perfect fit.

We are looking for a Quality Engineer specializing in Complex Root Cause Analysis (RCA) and Reliability Growth Analysis (RGA) . Job Mission As a Complex RCA/RGA Engineer, you will work alongside a team of professionals to analyze and improve the quality of serviceable parts. Your mission is to drive quality improvements by investigating field issues and applying your expertise in: Reliability Growth Root Cause Analysis Your work will span the entire lifecycle of serviceable parts, enabling both corrective and preventive actions and contributing to cross-sector process improvements.

You will collaborate with stakeholders across Development & Engineering (D&E), Customer Support, Supply Chain, Quality, Logistics, and Manufacturing.

Roles and responsibilities Root Cause Analysis (RCA)

Lead and support investigations into failed parts or modules using structured problem-solving methods such as 8D.

Reliability Growth Analysis (RGA)

Apply reliability growth techniques to address lifetime-related business questions.

Stakeholder Engagement

Collaborate with project leads, engineers, and management across multiple departments to ensure alignment and drive improvements. Education and experience Bachelor’s or Master’s degree in a technical field such as Electronics, Mechatronics, Mechanical Engineering, Optics, or Physics. Green Belt – Design for Six Sigma (DfSS) certification required. Experience with DMAIC projects is a plus. Have 5+ years of relevant experience in complex, technically driven organizations.

Demonstrate a strong focus on quality and continuous improvement, with proven problem-solving capabilities. Possess expertise in reliability modeling, including Weibull and Crow-AMSAA analysis. Familiarity with Bayesian principles is a plus. Have experience in statistical engineering and advanced data analytics tools/languages (e.g., Python, KNIME, MATLAB, Minitab). Are familiar with working on trusted datasets (e.g., PMA, SAP); ASML experience is a significant advantage.

Show interest or experience in applying AI/ML tools in RCA and RGA contexts. Have a broad perspective across design, qualification, manufacturing, logistics, and service domains.

Skills

Strong communication and influencing skills, even without formal authority. Excellent analytical skills, both quantitative and qualitative, to support data-driven decision-making. Ability to work with incomplete or unstructured life data. Effective team player with solid presentation skills. Self-starter with a proactive mindset. Other information This role is part of the Robust Design DUV group within Development & Engineering (D&E).

The team focuses on driving quality across the product lifecycle through methodologies such as FMEA, SPC, Replaceable Parts Definition, Reliability Growth, RCA, and modeling. These efforts are supported by a feedback loop that enables continuous learning and improvement.See above Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity.

We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions .